Jupyter for Data Science
Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations and visualizations. This book will be a comprehensive guide to getting started with data science using the popular Jupyter notebook. It will show you how to leverage the capabilties of Jupyter to perform various data science tasks efficiently. From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter.
Offered by
Difficulty Level
Intermediate
Completion Time
8h4m
Language
English
About Book
Who Is This Book For?
This book targets students and professionals who wish to master the use of Jupyter to perform a variety of data science tasks. Some programming experience with R or Python, and some basic understanding of Jupyter, is all you need to get started with this book.
Jupyter for Data Science
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 8h4m total length
Jupyter and Data Science
Working with Analytical Data on Jupyter
Data Visualization & Prediction
Data Mining & SQL queries
R with Jupyter
Data Wrangling
Jupyter Dashboards
Statistical Modeling
Machine Learning Using Jupyter
Optimizing Jupyter Notebooks
Related Resources
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